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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with high dividend yield"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high dividend yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high alpha and low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high alpha\": [\"preference/high\", \"attribute/technical/returns/alpha\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with high returns and low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with high alpha and low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high alpha\": [\"preference/high\", \"attribute/technical/returns/alpha\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high risk-adjusted returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high risk-adjusted returns\": [\"preference/high\", \"attribute/technical/returns/risk_adjusted_returns\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me mutual funds focused on telecom services"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"telecom services\": [\"preference/high\", \"exposure/sector/communication_services/telecommunication_services\"]}, {\"mutual funds focused on telecom services\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "low volatility funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}, {\"funds\": [\"vehicle/funds\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high annualised returns from last year"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high annualised returns from last year\": [\"preference/high\", \"time/1Y\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with high alpha returns focusing on IT sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high alpha\": [\"preference/high\", \"attribute/technical/returns/alpha\"]}, {\"IT sector\": [\"preference/high\", \"exposure/sector/information_technology\"]}, {\"funds focusing on IT sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "recommend funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with high alpha"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high alpha\": [\"preference/high\", \"attribute/technical/returns/alpha\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with low beta over the last year"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low beta\": [\"preference/low\", \"time/1Y\", \"attribute/technical/beta\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "worst small cap funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"worst\": [\"preference/low\", \"attribute/technical/performance\"]}, {\"small cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"small cap funds\": [\"sebi_classification/equity_schemes/small_cap_fund\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high momentum exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high momentum exposure\": [\"preference/high\", \"exposure/factor/momentum\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds in the tech sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"tech sector\": [\"preference/high\", \"exposure/sector/information_technology\"]}, {\"funds in the tech sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "find funds with high alpha"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high alpha\": [\"preference/high\", \"attribute/technical/returns/alpha\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "low volatility funds with high momentum"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"high momentum\": [\"preference/high\", \"exposure/factor/momentum\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "best alpha funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best alpha\": [\"preference/high\", \"attribute/technical/returns/alpha\"]}, {\"funds\": [\"vehicle/funds\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high alpha"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high alpha\": [\"preference/high\", \"attribute/technical/returns/alpha\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high beta and small cap focus"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high beta\": [\"preference/high\", \"attribute/technical/beta\"]}, {\"small cap focus\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"small cap focus\": [\"sebi_classification/equity_schemes/small_cap_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high dividend yield"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high dividend yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "find funds with strong momentum"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"strong momentum\": [\"preference/high\", \"exposure/factor/momentum\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "best dividend yield funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"dividend yield funds\": [\"sebi_classification/equity_schemes/dividend_yield_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "high beta funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high beta\": [\"preference/high\", \"attribute/technical/beta\"]}, {\"funds\": [\"vehicle/funds\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high annualised returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high annualised returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "pharma funds with high returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}, {\"pharma\": [\"preference/high\", \"exposure/sector/health_care/pharmaceuticals_biotechnology_and_life_sciences\"]}, {\"pharma funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "small cap funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"small cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"small cap funds\": [\"sebi_classification/equity_schemes/small_cap_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "small cap etfs"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"small cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"etfs\": [\"vehicle/funds/etf\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds in IT sector with high momentum"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"IT sector\": [\"preference/high\", \"exposure/sector/information_technology\"]}, {\"funds in IT sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}, {\"high momentum\": [\"preference/high\", \"exposure/factor/momentum\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "debt funds with high credit rating"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"debt\": [\"asset_type/debt\"]}, {\"debt funds\": [\"sebi_classification/debt_schemes\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"high credit rating\": [\"preference/high\", \"attribute/fundamental/credit_rating\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me high return tech funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high return\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}, {\"tech\": [\"preference/high\", \"exposure/sector/information_technology\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"tech funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "real estate funds with high returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}, {\"real estate\": [\"preference/high\", \"exposure/sector/real_estate\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"real estate funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "ETFs with high momentum"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"ETFs\": [\"vehicle/funds/etf\"]}, {\"high momentum\": [\"preference/high\", \"exposure/factor/momentum\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "low-risk funds in consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low-risk\": [\"preference/low\", \"attribute/technical/risk\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"consumer discretionary\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}, {\"funds in consumer discretionary\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "suggest funds with a high credit rating and exposure to Nifty 50"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high credit rating\": [\"preference/high\", \"attribute/fundamental/credit_rating\"]}, {\"exposure to Nifty 50\": [\"preference/high\", \"exposure/index/nifty_50\"]}, {\"funds with a high credit rating and exposure to Nifty 50\": [\"sebi_classification/other/index_funds_etfs\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "high credit rating funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high credit rating\": [\"preference/high\", \"attribute/fundamental/credit_rating\"]}, {\"funds\": [\"vehicle/funds\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me mutual funds with over 25% exposure to FMCG"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"over 25% exposure to FMCG\": [\"preference/>25%\", \"exposure/sector/consumer_staples\"]}, {\"mutual funds with over 25% exposure to FMCG\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high vwap"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high vwap\": [\"preference/high\", \"attribute/technical/price/vwap\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "suggest funds with high momentum exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high momentum exposure\": [\"preference/high\", \"exposure/factor/momentum\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "top dividend yield funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"top\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"dividend yield funds\": [\"sebi_classification/equity_schemes/dividend_yield_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with high annualised returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high annualised returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me FMCG funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"FMCG\": [\"preference/high\", \"exposure/sector/consumer_staples\"]}, {\"FMCG funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Help me invest in FMCG"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"FMCG\": [\"preference/high\", \"exposure/sector/consumer_staples\"]}, {\"invest in FMCG\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with low volatility and high returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}, {\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "low risk mutual funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low risk\": [\"preference/low\", \"attribute/technical/risk\"]}, {\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "low-risk small cap funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low-risk\": [\"preference/low\", \"attribute/technical/risk\"]}, {\"small cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"small cap funds\": [\"sebi_classification/equity_schemes/small_cap_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "large-cap funds with low expense ratio"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"large-cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"large-cap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"low expense ratio\": [\"preference/low\", \"attribute/cost/expense_ratio\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high annualised returns in health care"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high annualised returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}, {\"health care\": [\"preference/high\", \"exposure/sector/health_care\"]}, {\"funds in health care\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with low volatility and high momentum exposure in IT sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}, {\"high momentum exposure\": [\"preference/high\", \"exposure/factor/momentum\"]}, {\"IT sector\": [\"preference/high\", \"exposure/sector/information_technology\"]}, {\"funds with high momentum exposure in IT sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with high momentum"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high momentum\": [\"preference/high\", \"exposure/factor/momentum\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me some small-cap funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"small-cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"small-cap funds\": [\"sebi_classification/equity_schemes/small_cap_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with low risk and high returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low risk\": [\"preference/low\", \"attribute/technical/risk\"]}, {\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "list funds with high annualised returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high annualised returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "look for funds in the real estate sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"real estate sector\": [\"preference/high\", \"exposure/sector/real_estate\"]}, {\"funds in the real estate sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with low expense ratio and exposure to technology sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low expense ratio\": [\"preference/low\", \"attribute/cost/expense_ratio\"]}, {\"technology sector\": [\"preference/high\", \"exposure/sector/information_technology\"]}, {\"exposure to technology sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "find mutual funds with high dividend yield"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds\"]}, {\"high dividend yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me midcap funds with high returns over 20%"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"midcap\": [\"preference/high\", \"attribute/style/size/mid_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"midcap funds\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"high returns over 20%\": [\"preference/>20%\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "recommend funds with low exit load and high credit rating"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low exit load\": [\"preference/low\", \"attribute/cost/exit_load\"]}, {\"high credit rating\": [\"preference/high\", \"attribute/fundamental/credit_rating\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with high credit rating"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high credit rating\": [\"preference/high\", \"attribute/fundamental/credit_rating\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "looking for small-cap funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"small-cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"small-cap funds\": [\"sebi_classification/equity_schemes/small_cap_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "recommend low-risk municipal bond funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low-risk\": [\"preference/low\", \"attribute/technical/risk\"]}, {\"municipal bond\": [\"asset_type/debt/bonds/psu/municipal_bonds\"]}, {\"funds\": [\"vehicle/funds\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with excellent past returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"excellent past returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with high trend in information technology sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high trend\": [\"preference/high\", \"attribute/technical/trend\"]}, {\"information technology sector\": [\"preference/high\", \"exposure/sector/information_technology\"]}, {\"funds with high trend in information technology sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds exposed to technology sector with good dividend yield"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"technology sector\": [\"preference/high\", \"exposure/sector/information_technology\"]}, {\"funds exposed to technology sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}, {\"good dividend yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "large cap funds with low risk"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"large cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"large cap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"low risk\": [\"preference/low\", \"attribute/technical/risk\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "small cap funds with high risk-adjusted returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"small cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"small cap funds\": [\"sebi_classification/equity_schemes/small_cap_fund\"]}, {\"high risk-adjusted returns\": [\"preference/high\", \"attribute/technical/returns/risk_adjusted_returns\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "I want funds focusing on large cap companies with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"large cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with a focus on banks"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"focus on banks\": [\"preference/high\", \"exposure/sector/financials/banks\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high market cap exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high market cap\": [\"preference/high\", \"attribute/technical/market_cap\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "find me funds heavily invested in consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"heavily invested in consumer discretionary\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high volatility and low beta"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high volatility\": [\"preference/high\", \"attribute/technical/risk/volatility\"]}, {\"low beta\": [\"preference/low\", \"attribute/technical/beta\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "find funds with low volatility and high returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}, {\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "utility funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"utility\": [\"preference/high\", \"exposure/sector/utilities\"]}, {\"utility funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "can I get ETFs focused on large-cap stocks"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"ETFs\": [\"vehicle/funds/etf\"]}, {\"large-cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"ETFs focused on large-cap stocks\": [\"sebi_classification/other/index_funds_etfs\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "can I get ETFs not focused on large-cap stocks"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"ETFs\": [\"vehicle/funds/etf\"]}, {\"large-cap\": [\"preference/low\", \"attribute/style/size/large_cap\"]}, {\"ETFs not focused on large-cap stocks\": [\"sebi_classification/other/index_funds_etfs\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "looking for funds with high VWAP"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high VWAP\": [\"preference/high\", \"attribute/technical/price/vwap\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me some funds with a good inception record"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"good inception record\": [\"preference/high\", \"attribute/track_record/inception/length\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "high growth mutual funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high growth\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "best midcap funds with AUM over 5000 crores"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"midcap\": [\"preference/high\", \"attribute/style/size/mid_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"midcap funds\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"AUM over 5000 crores\": [\"preference/>5000cr\", \"attribute/technical/aum\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "worst gilt funds with AUM less than 500 crores"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"worst\": [\"preference/low\", \"attribute/technical/performance\"]}, {\"gilt funds\": [\"sebi_classification/debt_schemes/gilt_fund\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"AUM less than 500 crores\": [\"preference/<500cr\", \"attribute/technical/aum\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "best midcap funds with returns more than 27.2% since inception"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"midcap\": [\"preference/high\", \"attribute/style/size/mid_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"midcap funds\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"returns more than 27.2% since inception\": [\"preference/>27.2%\", \"time/ITD\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "best smallcap funds with returns more than 12% since inception and AUM more than 25k crores"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"smallcap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"smallcap funds\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"returns more than 12% since inception\": [\"preference/>12%\", \"time/ITD\", \"attribute/technical/returns/annualised_returns\"]}, {\"AUM more than 25k crores\": [\"preference/>25000cr\", \"attribute/technical/aum\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "equity best SBI Funds with aum more than 10000 crores"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"SBI Funds\": [\"vehicle/funds\"]}, {\"equity\": [\"sebi_classification/equity_schemes\"]}, {\"aum more than 10000 crores\": [\"preference/>10000cr\", \"attribute/technical/aum\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "energy sector funds with high returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}, {\"energy sector\": [\"preference/high\", \"exposure/sector/energy\"]}, {\"energy sector funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with downtrend in NAV"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"downtrend\": [\"attribute/technical/trend/down_trend\"]}, {\"NAV\": [\"attribute/technical/price/nav\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with a high exposure to domestic market"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high exposure to domestic market\": [\"preference/high\", \"exposure/region/domestic\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "midcap funds with high return potential"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high return potential\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}, {\"midcap\": [\"preference/high\", \"attribute/style/size/mid_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"midcap funds\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "recommend equity funds with high beta"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"equity\": [\"asset_type/equity\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"equity funds\": [\"sebi_classification/equity_schemes\"]}, {\"high beta\": [\"preference/high\", \"attribute/technical/beta\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "large and midcap funds with low risk"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"large\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"midcap\": [\"preference/high\", \"attribute/style/size/mid_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"large and midcap funds\": [\"sebi_classification/equity_schemes/large_and_mid_cap_fund\"]}, {\"low risk\": [\"preference/low\", \"attribute/technical/risk\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "can you find funds with high tracking error"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high tracking error\": [\"preference/high\", \"attribute/technical/tracking_error\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me midcap funds with high AUM and low expense ratio"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"midcap\": [\"preference/high\", \"attribute/style/size/mid_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"midcap funds\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"high AUM\": [\"preference/high\", \"attribute/technical/aum\"]}, {\"low expense ratio\": [\"preference/low\", \"attribute/cost/expense_ratio\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with low inception date risk"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low inception date risk\": [\"preference/low\", \"attribute/track_record/inception/date\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "find funds with a strong inception track record"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"strong inception track record\": [\"preference/high\", \"attribute/track_record/inception/length\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "low volatility funds in the utilities sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"utilities sector\": [\"preference/high\", \"exposure/sector/utilities\"]}, {\"funds in the utilities sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high beta performance since inception"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high beta performance since inception\": [\"preference/high\", \"time/ITD\", \"attribute/technical/beta\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "mutual funds with high dividend yield since inception"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"high dividend yield since inception\": [\"preference/high\", \"time/ITD\", \"attribute/fundamental/yield/dividend\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "small cap funds in real estate"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"small cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"small cap funds\": [\"sebi_classification/equity_schemes/small_cap_fund\"]}, {\"real estate\": [\"preference/high\", \"exposure/sector/real_estate\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "long track record funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"long track record\": [\"preference/high\", \"attribute/track_record/inception/length\"]}, {\"funds\": [\"vehicle/funds\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high tracking error"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high tracking error\": [\"preference/high\", \"attribute/technical/tracking_error\"]}]}"}]
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